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Novel low-complexity estimators for the shape parameter of the generalized gaussian distribution

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Chen, Yunfei and Beaulieu, Norman C. (2009) Novel low-complexity estimators for the shape parameter of the generalized gaussian distribution. IEEE Transactions on Vehicular Technology, Vol.58 (No.4). pp. 2067-2071. doi:10.1109/TVT.2008.2003079 ISSN 0018-9545.

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Official URL: http://dx.doi.org/10.1109/TVT.2008.2003079

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Abstract

Four new moment-based estimators are proposed for the shape parameter of the generalized Gaussian distribution. The new moment-based estimators have simple structures. They also outperform previous known moment-based estimators when the true value of the shape parameter is small. Simulation results show that in some cases, the estimation error in the proposed moment-based estimators is less than half of the error observed in current moment-based estimators.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Gaussian distribution, Ultra-wideband antennas, Estimation theory, Signal processing
Journal or Publication Title: IEEE Transactions on Vehicular Technology
Publisher: IEEE
ISSN: 0018-9545
Official Date: May 2009
Dates:
DateEvent
May 2009Published
Volume: Vol.58
Number: No.4
Number of Pages: 5
Page Range: pp. 2067-2071
DOI: 10.1109/TVT.2008.2003079
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Data sourced from Thomson Reuters' Web of Knowledge

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